Results 21 to 30 of about 89,713 (255)

Hybrid Look-Up-Tables Based Behavioral Model for Dynamic Nonlinear Power Amplifiers

IEEE Access, 2020
A new look-up table based behavioral model for dynamic nonlinear power amplifiers is proposed. This model labelled as hybrid look-up tables model is based on the combination of a memoryless look-up table sub-model and a nested look-up tables one.
Ahmad I. Dalbah, Oualid Hammi, Azzedine Zerguine   +2 more
doaj   +1 more source

Bayesian RC-Frame Finite Element Model Updating and Damage Estimation Using Nested Sampling with Nonlinear Time History

Buildings, 2023
This paper proposes a Bayesian RC-frame finite element model updating (FEMU) and damage state estimation approach using the nonlinear acceleration time history based on nested sampling.
Kunyang Wang, Yukihide Kajita, Yaoxin Yang   +2 more
doaj   +1 more source

Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study

BMC Medical Research Methodology, 2018
Background In individually randomised trials we might expect interventions delivered in groups or by care providers to result in clustering of outcomes for participants treated in the same group or by the same care provider.
Jane Candlish, M. Dawn Teare, Munyaradzi Dimairo, Laura Flight, Laura Mandefield, Stephen J. Walters   +5 more
doaj   +1 more source

Design and analysis of a low crosstalk error nested structure two-dimensional micro-displacement stage

Advances in Mechanical Engineering, 2021
In order to solve the low coupling displacement and high crosstalk error of multi-dimensional micro-displacement stage, a two-dimensional micro-displacement stage based on flexure hinges and piezoelectric ceramics is designed and analyzed.
Tao Jin, Siwei Luo, Yanfen Le, Junjie Wu, Lihua Lei, Bo Zhang   +5 more
doaj   +1 more source

Prediction of Clinical Outcomes in Acute Ischaemic Stroke Patients: A Comparative Study

Frontiers in Neurology, 2021
Background: Clinical stroke rehabilitation decision making relies on multi-modal data, including imaging and other clinical assessments. However, most previously described methods for predicting long-term stroke outcomes do not make use of the full multi-
Deepthi Rajashekar, Deepthi Rajashekar, Deepthi Rajashekar, Michael D. Hill, Michael D. Hill, Michael D. Hill, Michael D. Hill, Michael D. Hill, Andrew M. Demchuk, Andrew M. Demchuk, Mayank Goyal, Mayank Goyal, Jens Fiehler, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert   +16 more
doaj   +1 more source

A Nested Attention Neural Hybrid Model for Grammatical Error Correction [PDF]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model with nested attention layers for GEC.
Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao 0001   +5 more
openaire   +2 more sources

A shift in strategy or “error”? Strategy classification over multiple stochastic specifications [PDF]

Judgment and Decision Making, 2011
We present a classification methodology that jointly assigns to a decision maker a best-fitting decision strategy for a set of choice data as well as a best-fitting stochastic specification of that decision strategy.
Clintin P. Davis-Stober, Nicholas Brown, Andreas Glöckner, Benjamin E. Hilbig   +3 more
doaj   +2 more sources

Reconstructions of rainy season precipitation and flood season streamflow in the headwater catchment of the Yellow River and their evolution characteristics on a millennium scale

Shui kexue jinzhan, 2022
The intra-annual precipitation of the headwater catchment of the Yellow River basin (HCYRB) occurs in a concentrated manner, which leads to a high flood risk.
Wenzhuo WANG, Jianyun ZHANG, Feng CHEN, Benyou JIA, Shujun WU, Guoqing WANG   +5 more
doaj   +1 more source

Bayesian estimators in uncertain nested error regression models

Journal of Multivariate Analysis, 2017
Nested error regression models are useful tools for analysis of grouped data, especially in the case of small area estimation. This paper suggests a nested error regression model using uncertain random effects in which the random effect in each area is expressed as a mixture of a normal distribution and a positive mass at $0$.
Shonosuke Sugasawa, Tatsuya Kubokawa
openaire   +3 more sources

On non-negative estimation of variance components in mixed linear models

Journal of Advanced Research, 2016
Alternative estimators have been derived for estimating the variance components according to Iterative Almost Unbiased Estimation (IAUE). As a result two modified IAUEs are introduced.
Heba A. El Leithy, Zakaria A. Abdel Wahed, Mohamed S. Abdallah   +2 more
doaj   +1 more source